Version 1
: Received: 7 February 2024 / Approved: 9 February 2024 / Online: 9 February 2024 (11:17:53 CET)
Version 2
: Received: 7 February 2024 / Approved: 10 February 2024 / Online: 12 February 2024 (12:12:35 CET)
How to cite:
A Mageed, D.I. Ismail’s Ratio Conquers New Horizons the Non-stationary M/G/1 Queue’s State Variable Closed Form Expression. Preprints2024, 2024020548. https://doi.org/10.20944/preprints202402.0548.v1
A Mageed, D.I. Ismail’s Ratio Conquers New Horizons the Non-stationary M/G/1 Queue’s State Variable Closed Form Expression. Preprints 2024, 2024020548. https://doi.org/10.20944/preprints202402.0548.v1
A Mageed, D.I. Ismail’s Ratio Conquers New Horizons the Non-stationary M/G/1 Queue’s State Variable Closed Form Expression. Preprints2024, 2024020548. https://doi.org/10.20944/preprints202402.0548.v1
APA Style
A Mageed, D.I. (2024). Ismail’s Ratio Conquers New Horizons the Non-stationary M/G/1 Queue’s State Variable Closed Form Expression. Preprints. https://doi.org/10.20944/preprints202402.0548.v1
Chicago/Turabian Style
A Mageed, D.I. 2024 "Ismail’s Ratio Conquers New Horizons the Non-stationary M/G/1 Queue’s State Variable Closed Form Expression" Preprints. https://doi.org/10.20944/preprints202402.0548.v1
Abstract
This paper investigates the search for an exact analytic solution to the state variable of the non-stationary queue. Currently, the only known solution to this problem is through simulation. However, this study proposes a constant ratio
Keywords
Time Varying queueing system; number of customers; mean arrival rate; time; The Pointwise Stionary Fluid Flow Approximation(PSFFA); Time Varying queueing systems(TVQSs)
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
